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  1. {"modelTopology": {"keras_version": "2.1.4", "model_config": {"class_name": "Model", "config": {"layers": [{"class_name": "InputLayer", "inbound_nodes": [], "config": {"dtype": "float32", "batch_input_shape": [null, 224, 224, 3], "name": "input_1", "sparse": false}, "name": "input_1"}, {"class_name": "Conv2D", "inbound_nodes": [[["input_1", 0, 0, {}]]], "config": {"kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv1", "kernel_constraint": null, "bias_regularizer": null, "bias_constraint": null, "activation": "linear", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [2, 2], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 8, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": false, "activity_regularizer": null, "kernel_size": [3, 3]}, "name": "conv1"}, {"class_name": "BatchNormalization", "inbound_nodes": 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